| --- |
| language: |
| - 'no' |
| license: apache-2.0 |
| tags: |
| - audio |
| - asr |
| - automatic-speech-recognition |
| - hf-asr-leaderboard |
| model-index: |
| - name: scream_sextusdecimus_virtual_tsfix_small |
| results: [] |
| --- |
| |
| <!-- This model card has been generated automatically according to the information Keras had access to. You should |
| probably proofread and complete it, then remove this comment. --> |
|
|
| # scream_sextusdecimus_virtual_tsfix_small |
|
|
| This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the NbAiLab/ncc_speech dataset. |
| It achieves the following results on the evaluation set: |
| - step: 19999 |
| - eval_loss: 0.2913 |
| - train_loss: 0.6610 |
| - eval_wer: 8.7151 |
| - eval_cer: 3.8962 |
| - eval_exact_wer: 8.7151 |
| - eval_exact_cer: 3.8962 |
| |
| ## Model description |
| |
| More information needed |
| |
| ## Intended uses & limitations |
| |
| More information needed |
| |
| ## Training and evaluation data |
| |
| More information needed |
| |
| ## Training procedure |
| |
| ### Training hyperparameters |
| |
| The following hyperparameters were used during training: |
| - learning_rate: 5e-05 |
| - lr_scheduler_type: linear |
| - per_device_train_batch_size: 32 |
| - total_train_batch_size_per_node: 128 |
| - total_train_batch_size: 1024 |
| - total_optimization_steps: 20,000 |
| - starting_optimization_step: None |
| - finishing_optimization_step: 20,000 |
| - num_train_dataset_workers: 32 |
| - num_hosts: 8 |
| - total_num_training_examples: 20,480,000 |
| - steps_per_epoch: 11920 |
| - num_beams: 5 |
| - dropout: True |
| - bpe_dropout_probability: 0.1 |
| - activation_dropout_probability: 0.1 |
|
|
| ### Training results |
|
|
| | step | eval_loss | train_loss | eval_wer | eval_cer | eval_exact_wer | eval_exact_cer | |
| |:-----:|:---------:|:----------:|:--------:|:--------:|:--------------:|:--------------:| |
| | 0 | 1.2807 | 3.0725 | 196.6092 | 157.4275 | 196.6092 | 157.4275 | |
| | 1000 | 0.5902 | 1.0592 | 15.1695 | 4.8382 | 15.1695 | 4.8382 | |
| | 2000 | 0.4240 | 0.8640 | 11.3623 | 3.9308 | 11.3623 | 3.9308 | |
| | 3000 | 0.4213 | 0.7930 | 9.4587 | 3.3537 | 9.4587 | 3.3537 | |
| | 4000 | 0.4353 | 0.7986 | 9.3694 | 3.5263 | 9.3694 | 3.5263 | |
| | 5000 | 0.4697 | 0.7580 | 9.7858 | 4.1478 | 9.7858 | 4.1478 | |
| | 6000 | 0.4535 | 0.7003 | 10.0238 | 4.2119 | 10.0238 | 4.2119 | |
| | 7000 | 0.4608 | 0.7296 | 8.8638 | 3.4228 | 8.8638 | 3.4228 | |
| | 8000 | 0.3902 | 0.7053 | 8.9233 | 3.6003 | 8.9233 | 3.6003 | |
| | 9000 | 0.3575 | 0.7124 | 9.3992 | 3.9702 | 9.3992 | 3.9702 | |
| | 10000 | 0.3648 | 0.6858 | 8.8043 | 3.4326 | 8.8043 | 3.4326 | |
| | 11000 | 0.3033 | 0.6916 | 9.1315 | 3.7236 | 9.1315 | 3.7236 | |
| | 12000 | 0.3021 | 0.7028 | 8.9827 | 3.6052 | 8.9827 | 3.6052 | |
| | 13000 | 0.2959 | 0.6567 | 8.6556 | 3.4918 | 8.6556 | 3.4918 | |
| | 14000 | 0.3055 | 0.6828 | 8.9827 | 3.6496 | 8.9827 | 3.6496 | |
| | 15000 | 0.2930 | 0.6707 | 8.8043 | 3.7976 | 8.8043 | 3.7976 | |
| | 16000 | 0.2822 | 0.6523 | 8.5068 | 3.5806 | 8.5068 | 3.5806 | |
| | 17000 | 0.2809 | 0.6581 | 8.6853 | 3.7828 | 8.6853 | 3.7828 | |
| | 18000 | 0.2927 | 0.6455 | 9.1315 | 4.2513 | 9.1315 | 4.2513 | |
| | 19000 | 0.2922 | 0.6369 | 9.1017 | 4.1034 | 9.1017 | 4.1034 | |
| | 19999 | 0.2913 | 0.6610 | 8.7151 | 3.8962 | 8.7151 | 3.8962 | |
|
|
|
|
| ### Framework versions |
|
|
| - Transformers 4.30.0.dev0 |
| - Datasets 2.12.1.dev0 |
| - Tokenizers 0.13.3 |
|
|
